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2D-to-3D image and video conversion library for free-view LCD (starting from a single imagine or frame)

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altiro3D: 2D-to-3D image and video conversion library for free-view LCD (starting from a single imagine or frame)

altiro3D is a free, extended C++ Library (-see releases) developed to reconstruct reality from a given single imagine (e.g., .png, .jpg) or flat video (e.g., .mp4). This is done generating a light-field (or Native) image -see "User's Manual"

Visual Abstract

The several altiro3D command lines provide the following features: • Create Native (i.e., 3D image) from Photo using MiDaS-small. • Create Native from Photo using MiDaS-large. • Create Native from a given original camera’s RGB image and depth image. • Create Native from a given Quilt (N×M). • Create Native from sorted N-views (i.e., sequential set of plain images) stored in a given directory. • Convert Quilt views to 2D video (.mp4). • Convert given 2D video to Native 3D video (.mp4). All these forms of Native images/videos consisting of light-fields can be correctly displayed on a specific slanted, lenticular screen such as the Looking Glass (LG) Portrait.

Binaries

The latest version of the Debian ’altiro3D-x.x.x-Linux.deb’ package can be downloaded from "Releases" For details see "User's Manual"

Install

	sudo dpkg -i altiro3D-x.x.x-Linux.deb

Set the path to the working directory

	source /opt/altiro3D/bin/setupvars.sh

Run examples

	cd /opt/altiro3D/bin/examples
	./run_examples-1.sh 
		...

Uninstall

	sudo dpkg -r altiro3D

2D Photo (input) and 2D Video

3D Photo 3D Photo

Native 3D Photo and Native 3D Video

3D Photo 3D Photo

3D Video Display on Looking Glass Portrait

3D Photo

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Citation

If this software (including any part of it) is useful for you, please cite

@misc{altiro3D:
  title = {{Scene representation from single image and novel view synthesis}},
  author = {E. Canessa, L. Tenze},
  doi = {10.48550/arXiv.2304.11161},
  url = {https://arxiv.org/abs/2304.11161},
  publisher = {arXiv},
  year = {2023},
}

Article to appear (2023) in Springer's International Journal of Information Technology (IJIT).

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2D-to-3D image and video conversion library for free-view LCD (starting from a single imagine or frame)

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